文章基本信息

标题：Association Rules Optimization: A Survey
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作者：Anshuman Singh Sadh ; Nitin Shukla
期刊名称：International Journal of Advanced Computer Research
印刷版ISSN：2249-7277
电子版ISSN：2277-7970
出版年度：2013
卷号：3
期号：9
页码：111-115
出版社：Association of Computer Communication Education for National Triumph (ACCENT)
摘要：Association Rule mining is one of the important and most popular data mining technique. Association rule mining can be efficiently used in any decision making processor decision based rule generation. In data mining task in general we will find the frequent patterns to know the effective patterns from the huge data. Then we find positive and negative rules. If we observe the above phenomena then we come to the point that the rule generation is also huge. In this paper we survey several aspects of optimization techniques by which we can optimize the association rules. So the main motivation of our survey is to minimize the rule generation or optimize rule generation larger size of rules can be minimized.
关键词：Association Rule Mining; Positive Association; Negative Association; Optimization.